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Netlab Reference Manual rbfderiv
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<H1> rbfderiv
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<h2>
Purpose
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Evaluate derivatives of RBF network outputs with respect to weights.

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Synopsis
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<PRE>
g = rbfderiv(net, x)</PRE>


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Description
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<CODE>g = rbfderiv(net, x)</CODE> takes a network data structure <CODE>net</CODE>
and a matrix of input vectors <CODE>x</CODE> and returns a three-index matrix
<CODE>g</CODE> whose <CODE>i</CODE>, <CODE>j</CODE>, <CODE>k</CODE> element contains the
derivative of network output <CODE>k</CODE> with respect to weight or bias
parameter <CODE>j</CODE> for input pattern <CODE>i</CODE>. The ordering of the
weight and bias parameters is defined by <CODE>rbfunpak</CODE>.  This
function also takes into account any mask in the network data structure.

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See Also
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<CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="rbfbkp.htm">rbfbkp</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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